An improved method for joint image registration and superresolution

Superresolution reconstruction (SRR) is an effective approach for improving spatial resolution of image, which need not change the original imaging system hardware. Among the SRR methods, jointly estimate image registration and superresolution can overcome the serve aliased between low resolution images. However, further studies are still necessary for choose appropriate prior mode for better preserving edge of image. Also it is important for the choice of adaptive regularization parameters in the SRR based on regularization/maximum a posteriori (MAP) method. In this paper, we propose a method for joint image registration and SRR method based on MAP framework. In the reconstruction, the initial high resolution image is firstly obtained by the shift-and-add method. Then, the edge-preserved MRF model is used to improve the reconstructed image quality. Moreover, adaptive regularization method is used in the SRR. Experimental results demonstrate our improved SRR method effective.